Skip to nav Skip to content

Machine Learning Department

a graphic representing AI machine learning

Artificial intelligence and machine learning algorithms have witnessed tremendous growth as powerful data analytics technologies, however, despite the potentials, their role in medicine and oncology has been underwhelming. 

chart: machine learning decision supportIn partnership with the research and clinical teams at Moffitt Cancer Center, the Machine Learning Department will leverage the rich oncology data resources to develop new technologies to accelerate cancer discovery and improve clinical care.

The department focuses on machine/deep learning (ML/DL) application in information retrieval and annotation with natural language processing (NLP), outcomes and decision-making research, ML-aided digital pathology, ML-guided translational oncology (drug discovery and repurposing), among other areas. 


To design, develop, and translate state-of-the-art patient-centered machine and deep learning algorithms for oncology. 


To transform personalized cancer care and accelerate scientific discovery in cancer research with machine/deep learning


Patient-centered machine/deep learning for cancer care and research

Unbiased, generalizable, and interpretable machine/deep learning algorithms

Translate machine/deep learning findings into the clinic to improve cancer care and research